At a certain scale, vanilla Postgres starts to show its limits. Analytical queries slow down, mixed workloads compete for resources, and teams start talking about adding a second database. Most of the time, that's the wrong answer. Tiger Data extends PostgreSQL with time-series primitives, columnar storage, and automated lifecycle management so your team can run operational analytics on live production data without splitting your architecture. No pipelines. No lag. Still Postgres. Customers like Waterbridge ingest 5,000–10,000 data points per second. Axpo processes 150M rows per day from 20+ power plant systems. Both stayed on Postgres. Find us at HANNOVER MESSE 2026, April 20–24 in Hannover. Book a time to meet our team at the booth and see a live demo with real industrial workloads.